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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:XIA Yan-chun,HUO Hua.Oil monitoring methods based on information theory[J].Journal of Harbin Institute Of Technology(New Series),2009,16(3):396-401.DOI:10.11916/j.issn.1005-9113.2009.03.019.
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Oil monitoring methods based on information theory
Author NameAffiliation
XIA Yan-chun School of Mechanical & Electronic Engineering,Shanghai Second Polytechnic University,Shanghai 201209,China 
HUO Hua School of Mechanical Engineering,Shanghai Jiaotong University,Shanghai 200030,China 
Abstract:
To evaluate the wear condition of machines accurately,oil spectrographic entropy,mutual information and ICA analysis methods based on information theory are presented. A full-scale diagnosis utilizing all channels of spectrographic analysis can be obtained. By measuring the complexity and correlativity,the characteristics of wear condition of machines can be shown clearly. The diagnostic quality is improved. The analysis processes of these monitoring methods are given through the explanation of examples. The availability of these methods is validated and further research fields are demonstrated.
Key words:  entropy  mutual information  ICA  oil monitoring  wear
DOI：10.11916/j.issn.1005-9113.2009.03.019
Clc Number:TP274.4
Fund:

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